多低轨卫星协作的边缘计算卸载与资源分配策略

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中图分类号：TN929.5-34 文献标识码：A 文章编号：1004-373X（2025）17-0007-09

引用格式：,等.多低轨卫星协作的边缘计算卸载与资源分配策略[J].现代电子技术,2025,48(17)：7-15.

Edge computing offloading and resource allocation strategy for multi-LEO satellitecollaboration

YANGLiming,ZHOU Yuqian,WANGWenhao,ZHAOHongjun (Schoolfoaidoatigoigsitosdeletiso

Abstract:Low earth orbit (LEO)satelites with widecoveragecan beequipped with mobile edge computing (MEC)server with computing power toprovidemoreeficientcommunicationservices for ground terminalequipment (GTE).Inthispaper,a strategyis proposedonthebasisofconsideringthefactorssuchas mobilityandresource limitationofLEOsatelites,as wellas thecontinuousactionspaceofthecomputingoffoadingproblem.ThecomputingoffoadingproblemistransformedintoaMarkov decisionprocess(MDP)forthejointofloading of multipleLEOsatelltes.Thesystem bandwidth resourcesandcomputing resourcesarealocated.Andten,acomputationalofloadingandresourceallcationstrategybasedondeepdeterministicpolicy gradient (DDPG)isproposed.Inthestrategy，theoveralllatencyofthesystemisoptimizedwhenserving multipleGTEs.The simulationresultsshowthattheproposedstrategycancompletethetaskoffoadingandresourcealocationefectively,andeduce thesystemdelaysignificantly.Theaveragedelayoftheproposedstrategyunderthetotaltaskvolumeof1~1OMBisreducedby about 40.9% ， 35.59% and 30.7% ,respectively,in comparison with the three strategies of no inter-satellite link,using deep Qnetwork and full offloading.

Keywords:LEOsatelite;MEC;task offloading;resource allocation;offloading strategy;deepreinforcementlearning

0 引言

随着物联网新兴技术的发展，在各种智能设备上产生了许多延迟敏感、计算密集的应用，例如VR（虚拟现实）、AR(增强现实）、各式各样的游戏，这些应用要求很强的计算能力，如果仅依靠地面终端设备（GroundTerminalEquipment,GTE)本身的计算能力很难去满足用户低时延、高稳定性的需求4。（剩余21910字）